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Mobilomics in Saccharomyces cerevisiae strains
BACKGROUND: Mobile Genetic Elements (MGEs) are selfish DNA integrated in the genomes. Their detection is mainly based on consensus–like searches by scanning the investigated genome against the sequence of an already identified MGE. Mobilomics aims at discovering all the MGEs in a genome and understa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3684551/ https://www.ncbi.nlm.nih.gov/pubmed/23514613 http://dx.doi.org/10.1186/1471-2105-14-102 |
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author | Menconi, Giulia Battaglia, Giovanni Grossi, Roberto Pisanti, Nadia Marangoni, Roberto |
author_facet | Menconi, Giulia Battaglia, Giovanni Grossi, Roberto Pisanti, Nadia Marangoni, Roberto |
author_sort | Menconi, Giulia |
collection | PubMed |
description | BACKGROUND: Mobile Genetic Elements (MGEs) are selfish DNA integrated in the genomes. Their detection is mainly based on consensus–like searches by scanning the investigated genome against the sequence of an already identified MGE. Mobilomics aims at discovering all the MGEs in a genome and understanding their dynamic behavior: The data for this kind of investigation can be provided by comparative genomics of closely related organisms. The amount of data thus involved requires a strong computational effort, which should be alleviated. RESULTS: Our approach proposes to exploit the high similarity among homologous chromosomes of different strains of the same species, following a progressive comparative genomics philosophy. We introduce a software tool based on our new fast algorithm, called regender, which is able to identify the conserved regions between chromosomes. Our case study is represented by a unique recently available dataset of 39 different strains of S.cerevisiae, which regender is able to compare in few minutes. By exploring the non–conserved regions, where MGEs are mainly retrotransposons called Tys, and marking the candidate Tys based on their length, we are able to locate a priori and automatically all the already known Tys and map all the putative Tys in all the strains. The remaining putative mobile elements (PMEs) emerging from this intra–specific comparison are sharp markers of inter–specific evolution: indeed, many events of non–conservation among different yeast strains correspond to PMEs. A clustering based on the presence/absence of the candidate Tys in the strains suggests an evolutionary interconnection that is very similar to classic phylogenetic trees based on SNPs analysis, even though it is computed without using phylogenetic information. CONCLUSIONS: The case study indicates that the proposed methodology brings two major advantages: (a) it does not require any template sequence for the wanted MGEs and (b) it can be applied to infer MGEs also for low coverage genomes with unresolved bases, where traditional approaches are largely ineffective. |
format | Online Article Text |
id | pubmed-3684551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-36845512013-11-11 Mobilomics in Saccharomyces cerevisiae strains Menconi, Giulia Battaglia, Giovanni Grossi, Roberto Pisanti, Nadia Marangoni, Roberto BMC Bioinformatics Research Article BACKGROUND: Mobile Genetic Elements (MGEs) are selfish DNA integrated in the genomes. Their detection is mainly based on consensus–like searches by scanning the investigated genome against the sequence of an already identified MGE. Mobilomics aims at discovering all the MGEs in a genome and understanding their dynamic behavior: The data for this kind of investigation can be provided by comparative genomics of closely related organisms. The amount of data thus involved requires a strong computational effort, which should be alleviated. RESULTS: Our approach proposes to exploit the high similarity among homologous chromosomes of different strains of the same species, following a progressive comparative genomics philosophy. We introduce a software tool based on our new fast algorithm, called regender, which is able to identify the conserved regions between chromosomes. Our case study is represented by a unique recently available dataset of 39 different strains of S.cerevisiae, which regender is able to compare in few minutes. By exploring the non–conserved regions, where MGEs are mainly retrotransposons called Tys, and marking the candidate Tys based on their length, we are able to locate a priori and automatically all the already known Tys and map all the putative Tys in all the strains. The remaining putative mobile elements (PMEs) emerging from this intra–specific comparison are sharp markers of inter–specific evolution: indeed, many events of non–conservation among different yeast strains correspond to PMEs. A clustering based on the presence/absence of the candidate Tys in the strains suggests an evolutionary interconnection that is very similar to classic phylogenetic trees based on SNPs analysis, even though it is computed without using phylogenetic information. CONCLUSIONS: The case study indicates that the proposed methodology brings two major advantages: (a) it does not require any template sequence for the wanted MGEs and (b) it can be applied to infer MGEs also for low coverage genomes with unresolved bases, where traditional approaches are largely ineffective. BioMed Central 2013-03-20 /pmc/articles/PMC3684551/ /pubmed/23514613 http://dx.doi.org/10.1186/1471-2105-14-102 Text en Copyright © 2013 Menconi et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Menconi, Giulia Battaglia, Giovanni Grossi, Roberto Pisanti, Nadia Marangoni, Roberto Mobilomics in Saccharomyces cerevisiae strains |
title | Mobilomics in Saccharomyces cerevisiae strains |
title_full | Mobilomics in Saccharomyces cerevisiae strains |
title_fullStr | Mobilomics in Saccharomyces cerevisiae strains |
title_full_unstemmed | Mobilomics in Saccharomyces cerevisiae strains |
title_short | Mobilomics in Saccharomyces cerevisiae strains |
title_sort | mobilomics in saccharomyces cerevisiae strains |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3684551/ https://www.ncbi.nlm.nih.gov/pubmed/23514613 http://dx.doi.org/10.1186/1471-2105-14-102 |
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